We had

Wehad

A limited number of permanent noise observation stations

Source: www.lne.be 2009

Source: www.vmm.be 2009

Wehad

A limited number of air quality measurement sites with instantaneous (non-validated) interpolation

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

24-06-08 01-07-08

day

PM

10 (

ug

m-3

)

0

30

60

90

120

150

180

210

NO

(u

g m

-3)

PM10 (ug m-3)

NO (ug m-3)

sunday

Wehad

Typical patterns but limited source identification, limited alerting

IDEA brings

More information at a cheaper price.

air (UFP)

tiny noise

reference noise

total cost:25 000 €total cost:25 000 €

0

20

40

60

80

100

120

140

24-06-08 01-07-08

day

PM

10 (

ug

m-3

)

0

30

60

90

120

150

180

210

NO

(u

g m

-3)

PM10 (ug m-3)

NO (ug m-3)

sunday

0

20

40

60

80

100

120

140

24-06-08 01-07-08

day

PM

10 (

ug

m-3

)

0

30

60

90

120

150

180

210

NO

(u

g m

-3)

PM10 (ug m-3)

NO (ug m-3)

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

0

20

40

60

80

100

120

140

11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08

NO

(u

g m

-3)

urban traffic (access road)

urban background

sunday

sunday

IDEA brings

Bottom up: alerting functionality and instant validation

sensor error

car

truck

train

nature

talking

industry

IDEA brings

Top down: interpolation and detailed querying

iLAden = 64 dBA

PM10 = 34 g/m3

UFP = ...

LAden = 64 dBA

PM10 = 34 g/m3

UFP = ...

detailsdetails originorigin

detailsdetails originorigin

detailsdetails originorigin

Origin:Quality : mediumInterpolation based on trafic dataClosest measurement : 120 mClosest high-end : 890 mTime stamp : 1-2-2009 to 1-3-2009...

Origin:Quality : mediumInterpolation based on trafic dataClosest measurement : 120 mClosest high-end : 890 mTime stamp : 1-2-2009 to 1-3-2009...

originorigin

IDEA brings

Top down: interpolation and detailed querying

Tracing sensor detailsStart: 6/3/2009 11:22Location: //serv1.gent.be/tr23.xml

Tracing sensor detailsStart: 6/3/2009 11:23Location: //serv1.gent.be/tr24.xml

Just-accurate-enough sensorsHow?

20 – 20000 HzNoise floor: 22 dBALong term weather proof

-10dB€80 – 10000 HzNoise floor: 30 dBAWind protection

-10dB€

Specific design80 – 10000 Hz ?Noise floor: about 36 dBA ?Weather protection ?

Moving sensorsHow?

Vehicle equipped with (air pollution) sensors moves along the traffic stream and periodically forwards data via wireless link.

How? Just-enough processing powerOptimal use of distributed computing

tiny

Tiny CPU- Preprocess sensordata (average, filter)- Detect saliency in time- Make data available on the internet

How? Just-enough processing powerOptimal use of distributed computing

tiny

desktop

desktop CPU- Manage attention focussing and further analyses requests- Detect spatial saliency- Manage context- Manage decisions

How? Just-enough processing powerOptimal use of distributed computing

tiny

desktop

grid

Grid computingis used for compute-intensive tasks

How? Just-enough processing powerOptimal use of distributed computing

Connected via internetWired or wireless

How? Adding background informationIntelligent extraction of knowledge

Combining Combining sensor sensor informationinformation

How? Adding background informationIntelligent extraction of knowledge

Combining Combining sensor sensor informationinformation

Adding Adding source source informationinformation

How? Adding background informationIntelligent extraction of knowledge

Combining Combining sensor sensor informationinformation

Adding Adding source source informationinformation

PhysicalPhysicaltransfertransfermechanismmechanism

How? Adding background informationIntelligent extraction of knowledge

Combining Combining sensor sensor informationinformation

Adding Adding source source informationinformation

PhysicalPhysicaltransfertransfermechanismmechanism

Calculated Calculated maps: noise maps: noise & air quality& air quality

How? Adding background informationIntelligent extraction of knowledge

Combining Combining sensor sensor informationinformation

Adding Adding source source informationinformation

PhysicalPhysicaltransfertransfermechanismmechanism

Calculated Calculated maps: noise maps: noise & air quality& air quality

Moving Moving sensor sensor informationinformation